import intake
import hvplot.pandas
import hvplot.xarray
import cook_inlet_catalogs as cic
import holoviews as hv

Moorings (UAF): Kodiak Island, Peterson Bay

Moorings from UAF

cat = intake.open_catalog(cic.utils.cat_path("moorings_uaf"))

Plot all datasets in catalog

dd, ddlabels = cic.utils.combine_datasets_for_map(cat)
dd.hvplot(**cat.metadata["map"]) * ddlabels.hvplot(**cat.metadata["maplabels"])

List available datasets in the catalog

dataset_ids = list(cat)
dataset_ids

['peterson-bay-ak-gnss-r', 'uaf_ocean_acidification_resea_ko']

Select one dataset to investigate

try:
    dataset_id = dataset_ids[2]
except:
    dataset_id = dataset_ids[0]
print(dataset_id)

dd = cat[dataset_id].read()
dd

peterson-bay-ak-gnss-r

[Errno 13] Permission denied: '/home/kristen'
If your filenames are too long, input only a few variablesto return or input into cache kwargs `same_names=False`

---------------------------------------------------------------------------
UnboundLocalError                         Traceback (most recent call last)
Cell In[5], line 7
      4     dataset_id = dataset_ids[0]
      5 print(dataset_id)
----> 7 dd = cat[dataset_id].read()
      8 dd

File ~/checkouts/readthedocs.org/user_builds/cook-inlet-catalogs/conda/stable/lib/python3.11/site-packages/intake/readers/readers.py:121, in BaseReader.read(self, *args, **kwargs)
    119 kw.update(kwargs)
    120 args = kw.pop("args", ()) or args
--> 121 return self._read(*args, **kw)

File ~/checkouts/readthedocs.org/user_builds/cook-inlet-catalogs/conda/stable/lib/python3.11/site-packages/intake_erddap/erddap.py:191, in TableDAPReader._read(self, server, dataset_id, variables, mask_failed_qartod, dropna, cache_kwargs, open_kwargs, constraints, **kw)
    187     dataframe: pd.DataFrame = e.to_pandas(
    188         requests_kwargs={"timeout": 60}, **open_kwargs
    189     )
    190 if mask_failed_qartod:
--> 191     dataframe = self.run_mask_failed_qartod(dataframe)
    192 if dropna:
    193     dataframe = self.run_dropna(dataframe)

UnboundLocalError: cannot access local variable 'dataframe' where it is not associated with a value

Plot one dataset

keys = list(cat[dataset_id].metadata["plots"].keys())
print(keys)

plots = []
for key in keys:
    plot_kwargs = cat[dataset_id].metadata["plots"][key]
    if "clim" in plot_kwargs and isinstance(plot_kwargs["clim"], list):
        plot_kwargs["clim"] = tuple(plot_kwargs["clim"])
    if "dynamic" in plot_kwargs:
        plot_kwargs["dynamic"] = False
    plots.append(cat[dataset_id].ToHvPlot(**plot_kwargs).read())
hv.Layout(plots).cols(1)